We are very happy to announce that Anna Vizziello has been selected to be included on this year’s list of “N2Women: Rising Stars in Computer Networking and Communications” for her outstanding and impactful contributions to the research community.

The "N2Women: Rising Stars in Computer Networking and Communications” is an annual list which focuses on amazing young women whose career start has already impacted research in networking and/or communications

We congratulate with Anna for this great achievement that highlights her outstanding research results. 

The manuscript entitled "Experimental data set analysis of RSSI-based indoor and outdoor localization in LoRa networks" has been accepted for publication in Internet Technology Letters [https://doi.org/10.1002/itl2.75]

The authors are: Emanuele Goldoni, Luca Prando, Anna Vizziello, Pietro Savazzi, and Paolo Gamba (TLC&RS lab).

Summary: Positioning capability represents one of the basic features of modern Internet of Things (IoT) applications. Although this objective may be pursued by using Global Navigation Satellite Systems, cheaper and simpler techniques are more suitable for low-power networks. In this letter, we present

Results are available in the course web page on the Kiro platform

The article "A Kalman based Hybrid Precoding for Multi-User Millimeter Wave MIMO Systems" has been accepted for publication in IEEE Access: http://ieeeaccess.ieee.org/

The authors are: Anna Vizziello, Pietro Savazzi (TLC&RS lab), and Kaushik R. Chowdhury (Northeastern University, Boston MA)

ABSTRACT: Millimeter wave (mmWave) communication in the 60 GHz band requires large antenna arrays at both the transmit and receive terminals to achieve beamforming gains, in order to counteract the severe pathloss. Fully digital techniques are infeasible with large antenna arrays due to hardware constraints at such frequencies, while pure analog solutions have severe performance limitations. Hybrid analog/digital beamforming is a promising solution, especially when extended to a multi-user scenario.

I risultati sono disponibile nella web page del corso sulla piattaforma Kiro